Florentin Wörgötter

Florentin Wörgötter is a faculty member at the Department for Computational Neuroscience, Georg August University of Göttingen, Germany. His research bridges robotics, computational neuroscience, and machine learning, focusing on action prediction, neural networks, and human-robot interaction.

• Key Research Areas: Action segmentation, semantic decomposition of manipulation sequences, 3D object reconstruction, and sensor fusion for infant movement classification.
• Recent Trends: Combining task-dependent learning with optimal path search, using foundation models for graph-based action recognition, and improving CNN interpretability through influence functions.

He collaborates extensively with researchers like Minija Tamosiunaite, Tomas Kulvicius, and Poramate Manoonpong, contributing to journals such as NeuroImage, Robotics and Autonomous Systems, and IEEE Transactions on Neural Networks. His work often integrates deep learning, semantic reasoning, and biologically inspired models for robotic applications.